American Association of Colleges of Osteopathic Medicine (AACOM)

Data Scientist

• Develop and maintain Python-based data pipelines that collect, process, and ingest data from multiple sources.
• Improve existing data workflows with a focus on quality assurance, sustainability, documentation, and maintainability.
• Ensure analytic workflows are reproducible, well-structured, and scalable.
• Support responsible handling of sensitive data in compliance with FERPA and AACOM data governance standards.
• Develop dashboards and data visualization tools primarily using Tableau and Python.
• Maintain and enhance existing dashboards, internal analytics tools, and client-facing data products.
• Translate complex datasets into accessible and actionable visual insights.
• Translate defined research designs into executable analytic workflows.
• Clean, transform, and validate complex administrative and survey datasets.
• Conduct quantitative analyses with increasing independence over time.
• Contribute to applied research initiatives including workforce studies, survey analysis, and text-based or NLP projects.
• Support the development and operationalization of statistical and/or ML models used in research and operational initiatives.
• Partner with colleagues across AACOM departments to support strategic data and analytics initiatives.
• Contribute to a culture of innovation, continuous learning, and process improvement.
• Document workflows, methodologies, and technical processes clearly and consistently.
• Stay current on emerging tools, technologies, and best practices in data science and analytics.